Datasets:
The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
datetime: string
cough_detected: string
latitude: string
longitude: string
age: string
gender: string
respiratory_condition: string
fever_muscle_pain: string
status: string
to
{'datetime': Value('string'), 'cough_detected': Value('string'), 'latitude': Value('string'), 'longitude': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
datetime: string
cough_detected: string
latitude: string
longitude: string
age: string
gender: string
respiratory_condition: string
fever_muscle_pain: string
status: string
to
{'datetime': Value('string'), 'cough_detected': Value('string'), 'latitude': Value('string'), 'longitude': Value('string')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
COUGHVID — Reference for PRAXIS-VOX
This repository is a reference pointer, not a full mirror. The canonical dataset is hosted permanently on Zenodo by the original authors.
PRAXIS-VOX (the voice-biomarker side-channel of PRAXIS, MSc dissertation,
University of Leicester, 2026) uses this dataset for the respiratory_cough
condition probe.
Where the data lives
Canonical source (Zenodo, permanent, free):
https://zenodo.org/record/4498364
Quick download
mkdir -p ~/data/coughvid
cd ~/data/coughvid
wget https://zenodo.org/record/4498364/files/public_dataset.zip
unzip public_dataset.zip
What COUGHVID contains
- 27,550 cough recordings (.webm and .ogg)
- 27,550 per-sample metadata JSONs
metadata_compiled.csvwith all labels in one file (27,551 rows)
Per-record fields: cough detection probability, SNR, demographics, respiratory_condition label, COVID status, four independent expert annotations covering quality, cough type, dyspnoea, wheezing, stridor, choking, congestion, diagnosis, severity.
License
CC-BY-4.0. Free to redistribute and use with attribution.
Citation
@article{orlandic2021coughvid,
title={The COUGHVID crowdsourcing dataset, a corpus for the study of
large-scale cough analysis algorithms},
author={Orlandic, Lara and Teijeiro, Tomas and Atienza, David},
journal={Scientific Data},
volume={8},
number={1},
pages={156},
year={2021},
publisher={Nature Publishing Group UK London},
doi={10.1038/s41597-021-00937-4}
}
How PRAXIS-VOX uses it
Loaded via praxis_vox/data/unified.py::load_coughvid() to label samples
under the respiratory_cough condition for orthogonal-probe training
(Contribution 4 of the dissertation).
Note
A partial upload of ~10,000 audio files exists in this repo from an aborted mirror attempt on 2026-05-06. Do not rely on this partial mirror. Always download from Zenodo for the complete dataset.
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